Define the correct microservice scope When we talk about the scope of a microservice, we are referring to the features of an independent software module. The ability of microservices to perform as a nearly-stateless system allows it to be developed independently. Create a unique service which will act as an identifying source, much like a unique key in a database table. Have loose coupling with high cohesion We should create correct API and take special care during integration. The microservices style is usually organized around business capabilities and priorities. Unlike a traditional monolithic development approach—where different teams each have a specific focus on, say, UIs, databases, technology layers, or server-side logic—microservice architecture utilizes cross-functional teams. The responsibilities of each team are to make specific products based on one or more individual services communicating via message bus. In microservices, a team owns the product for its lifetime. Restrict access to data… Read more“Fundamentals of Microservices Design”
Category: Spring Cloud
Hystrix (Circuit Breaker )
Hystrix in spring cloud is the implementation of Circuit Breaker pattern, which gives a control over latency and failure between distributed micro services. Here main idea is to stop cascading failures by failing fast and recover as soon as possible. Netflix created Hystrix library implementing the Circuit Breaker pattern to address these kinds of issues. Step1 : Add the Hystrix starter to your spring project <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-starter-netflix-hystrix</artifactId> </dependency> Step2 : Enable the Circuit Breaker by adding annotation to your project @EnableCircuitBreaker Step3 : Now we can use @HystrixCommand annotation on any method we want to apply timeout and fallback method. The fallback method should be defined in the same class and should have the same signature. public class ServiceClient { private final RestTemplate restTemplate; @Autowired public ServiceClient(RestTemplate restTemplate) { this.restTemplate = restTemplate; } @HystrixCommand(fallbackMethod =… Read more“Hystrix (Circuit Breaker )”
Feign Client
Netflix provides Feign as an abstraction over REST-based calls, by which microservices can communicate with each other, but developers don’t have to bother about REST internal details. 1.Add the feign dependency to your project e.g. <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-starter-feign</artifactId> </dependency> 2.Tell to project that we will use Feign client, so scan its annotation, add the below annotation to your application class @EnableFeignClients 3. Now, we have to create an interface where we declare the services we want to call. Please note that Service Request mapping is same as the Actual Service Rest URL. @FeignClient(name=”MySearch” ) //Service Id of service you want to call public interface MySearchServiceProxy { – – – } 4. Add or create a Controller where we autowire our Feign Interface so Spring can Inject actual implementation during runtime. @RefreshScope @RestController public class FeignMySearchController { @Autowired MySearchServiceProxy… Read more“Feign Client”
Why Spring cloud is required?
When we develop microservices with Spring Boot , we might face the below mentioned issues hence spring cloud project helps to eliminate these issues.Spring cloud is set of tools to manage and establish the service Discovery, config management and Circuit Breakers etc. It manages and handles following very efficiently, 1. Any of the network and security issues. 2. Service discovery tools manage how processes and services in a cluster can find and talk to one another. It involves a directory of services, registering services in that directory, and then being able to lookup and connect to services in that directory. 3. Redundancy issues in distributed systems. 4. Load balancing improves the distribution of workloads across multiple computing resources, such as computers, a computer cluster, network links, central processing units, or disk drives. 5. Performance issues due to various operational overheads. 6. Requirement of deployment and continuous integration.